Enhancing Recommender Systems to Alleviate Data Sparsity and the Cold Start Problem-Reference-Cited by-同舟云学术

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Enhancing Recommender Systems to Alleviate Data Sparsity and the Cold Start Problem

Published:2023-12-22 Issue: Volume: Page:486-491
ISSN:
Container-title:2023 12th International Conference on System Modeling & Advancement in Research Trends (SMART)
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Author:

Kumar Suresh¹,Chauhan Vineet Kumar¹,Upadhyay Diwakar²,Singh Shekhar³,Tripathi Prasoon⁴

Affiliation:

1. Galgotias College of Engg. & Tech.,Dept. of Information Technology,Greater Noida

2. School of Computing, Graphic Era Hill University,Haldwani

3. Mahamaya Polytechnic of Information Tech,Dept. of Information Technology,Hathras

4. Axis institute of Technology and Management,Dept. of Computer Science and Engg.,Kanpur

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10428119/10428128/10428531.pdf?arnumber=10428531

Reference25 articles.

1. Collaborative filtering and deep learning based recommendation system for cold start items

2. A recommendation system by collaborative filtering including information and characteristics on users and items

3. A Survey on Recommendation System

4. Dynamic Recommendation System Using Web Usage Mining for E-commerce Users

5. A novel hybrid based recommendation system based on clustering and association mining

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